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CompTIA Data X

CompTIA DataX Certification Prep (Exam DY0-001) is designed for experienced professionals aiming to validate their expertise in the evolving field of data science. This course equips learners with the knowledge and skills needed to pass the CompTIA DataX certification exam, focusing on expert-level data science tools, concepts, and processes. The...

  • 4.6 out of 5 rating
  • Last updated : 21/01/2026
  • English

Available as Instructor Led Training, Live Online & In Person at your Offices or Ours.

Duration:

40.00 hours

32.5 CPD hours

Overview:

CompTIA DataX Certification Prep (Exam DY0-001) is designed for experienced professionals aiming to validate their expertise in the evolving field of data science. This course equips learners with the knowledge and skills needed to pass the CompTIA DataX certification exam, focusing on expert-level data science tools, concepts, and processes. The course covers mathematical and statistical methods, data modeling, machine learning applications, and specialized data science operations to ensure comprehensive preparation for certification.

Description:

CompTIA DataX Certification Prep (Exam DY0-001) is designed for experienced professionals aiming to validate their expertise in the evolving field of data science. This course equips learners with the knowledge and skills needed to pass the CompTIA DataX certification exam, focusing on expert-level data science tools, concepts, and processes. The course covers mathematical and statistical methods, data modeling, machine learning applications, and specialized data science operations to ensure comprehensive preparation for certification.
DURATION 1 Day

No upcoming local classes scheduled.

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Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable.

To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.